MongoDB Administrator

Job Role: Trade Operations Associate

Job Location: Gurugram (Onsite)

Job Type: Full Time.

Relevant Experience:

• Minimum 6 months experience in trading operations / OMS / EMS support.
• Exposure to trading platforms, exchange connectivity, order management systems.
• Experience handling connectivity issues, order failures, or trading incidents.
• Familiarity with UAT testing, system upgrades, API/FIX connectivity

Key Skills:

• Trading systems & market infrastructure knowledge
• OMS/EMS & FIX protocol
• Incident management
• System monitoring & reporting
• Risk controls & SOP adherence

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

• Actively work on server-side development on the .NET framework
• Browser / client-side development on JavaScript (or its libraries such as JQuery). Work with data structures such as XML and JSON
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable code
• Integrate data storage solutions like Postgres SQL and Redis
• Ensure the best possible performance, quality and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization

Responsibilities

·        Design and build advanced applications for the iOS platform.

·        Collaborate with cross-functional teams to define, design, and ship new features.

·        Work on bug fixing and improving application performance.

·        Identify and correct bottlenecks and fix bugs

·        Help maintain code quality, organization, and automatization

·        Support the whole application lifetime from idea through design, testing, release, and maintenance

·        Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Skills

·        Proficient with Swift and Cocoa Touch

·        Experience with iOS frameworks such as Core Data, Core Animation, etc.

·        Experience with offline storage, threading, and performance tuning

·        Familiarity with RESTful APIs to connect iOS applications to back-end services

·        Understanding of Apple’s design principles and interface guidelines

·        Experience with performance and memory tuning with tools 

·        Familiarity with cloud message APIs and push notifications

·        Knack for benchmarking and optimization

·        Proficient understanding of code versioning tools source tree, git

·        Familiarity with continuous integration

·        Solid grasp of algorithms, memory management, object oriented programming, and MVC Design

Competencies

·        Excellent communication skills

·        Ability to co-ordinate with cross functional teams  

·        Should be a good Team player.

Mandatory Skills

• C/C++ Programming
• Linux System concepts
• Good Written and verbal communication skills
• Good problem-solving skills
• Python scripting experience
• Prior experience in Continuous Integration and Build System is a plus
• SCM tools like git, perforce etc is a plus
• Repo, Git and Gerrit tools
• Android Build system expertise
• Automation development experience with like Electric Commander, Jenkins, Hudson

Job Description

Must have Skill Sets 

• Go lang + Microservices
• Familiarity with MAC/Linux environment, Shell script 
• GRPC ● JavaScript & JSON 
• Knowledge of microservices and architecture 
• Knowledge of Uber Tech Stack would be a bonus ○ Will ensure candidate who are selected will undergo training on Uber Stack as a part of their induction to Uber 
• Basic SQL knowledge 

Expectations from the candidate 

• Strong hands-on experience in understanding requirements and creating microservices using Go lang.. 
• Exceptional debugging and problem-solving skills on large codebase 
• Be a proactive thinker and demonstrate keen sense to find solutions to challenging problems
• Product sense: Create more than beautiful code. Play a crucial role in choosing what we build and how we build it. 
• A penchant for collaboration & a team player: Work cross collaboratively to drive impact across orgs. Be open to candid feedback for improvement. When required step up to the role of a tech-lead to ensure effective coordination and communication 
• Independent to explore all the end points in UBER environment and coordinate with different Line of Business to understand the correct microservice for a business use case. 
• Ability to convert a high-level PRD into a detailed ERD for execution. Coordinate with business teams to understand the functional requirement and convert it into engineering logic

Primary Skills :

4+ Years with Java

2+ with Microservices

6 months to 1 Year with Golang

Exp : 4+ Years

Location : Bangalore/Hyderabad

Max Budget : 28 Lakhs

End Client : UBER

Responsibilities 

• Design and build applications for the iOS platform
• Ensure the performance, quality, and responsiveness of applications
• Collaborate with a team to define, design, and ship new features
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization

Skills: –

• Proficient with Swift {depending on project requirements}, and Cocoa Touch
• Experience with iOS frameworks such as Core Data, Core Animation, etc.
• Experience with offline storage, threading, and performance tuning
• Familiarity with RESTful APIs to connect iOS applications to back-end services
• Knowledge of other web technologies and UI/UX standards
• Understanding of Apple’s design principles and interface guidelines
• Knowledge of low-level C-based libraries is preferred
• Experience with performance and memory tuning with tools {such as Instruments and Shark, depending on project needs}
• Familiarity with cloud message APIs and push notifications
• The knack for benchmarking and optimization
• Proficient understanding of code versioning tools {such as Git, Mercurial or SVN}
• Familiarity with continuous integration

Qualification: –

Education Qualification: B. TECH / BCA / M. TECH / MCA.

• 4-15 years experience in Perl Development with a working knowledge of the following web development stack: HTML/XHTML, CSS, JavaScript, Apache/Nginx .
• Extensive experience with OO Perl.
• Proficient with building/managing relational databases.
• Any perl based web frameworks ( Mojolicious, Catalyst, Dancer , CGI Application).

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred